Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model

Predictions of tree size and density from a remote sensing model were used together with allometric regression equations from the literature to estimate foliage and above-ground woody biomass in sparse woodlands. Study sites with woody cover ranging from 10-50 per cent were located in the Sudanian a...

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Autores principales: Franklin, J., Hiernaux, Pierre H.Y.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Informa UK Limited 1991
Materias:
Acceso en línea:https://hdl.handle.net/10568/28808
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author Franklin, J.
Hiernaux, Pierre H.Y.
author_browse Franklin, J.
Hiernaux, Pierre H.Y.
author_facet Franklin, J.
Hiernaux, Pierre H.Y.
author_sort Franklin, J.
collection Repository of Agricultural Research Outputs (CGSpace)
description Predictions of tree size and density from a remote sensing model were used together with allometric regression equations from the literature to estimate foliage and above-ground woody biomass in sparse woodlands. Study sites with woody cover ranging from 10-50 per cent were located in the Sudanian and Sahelian bioclimatic zones in Mali, West Africa. Estimates compared favourably to independent measurements of foliage biomass made in the Sahelian sites, and to typical values of foliage and woody biomass from the literature for these regions and for similar woodland types. If combined with a vegetation stratification at the appropriate scale, this approach could provide estimates of woody biomass for fuelwood, and foliage biomass for browse over large areas. These estimates could be used in regional scale models of biogeochemical cycling.
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spelling CGSpace288082023-03-17T15:59:36Z Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model Franklin, J. Hiernaux, Pierre H.Y. sudanian zone woodlands biomass remote sensing models trees size density Predictions of tree size and density from a remote sensing model were used together with allometric regression equations from the literature to estimate foliage and above-ground woody biomass in sparse woodlands. Study sites with woody cover ranging from 10-50 per cent were located in the Sudanian and Sahelian bioclimatic zones in Mali, West Africa. Estimates compared favourably to independent measurements of foliage biomass made in the Sahelian sites, and to typical values of foliage and woody biomass from the literature for these regions and for similar woodland types. If combined with a vegetation stratification at the appropriate scale, this approach could provide estimates of woody biomass for fuelwood, and foliage biomass for browse over large areas. These estimates could be used in regional scale models of biogeochemical cycling. 1991-06 2013-05-06T07:01:28Z 2013-05-06T07:01:28Z Journal Article https://hdl.handle.net/10568/28808 en Limited Access Informa UK Limited International Journal of Remote Sensing;12(6):1387-1404
spellingShingle sudanian zone
woodlands
biomass
remote sensing
models
trees
size
density
Franklin, J.
Hiernaux, Pierre H.Y.
Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model
title Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model
title_full Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model
title_fullStr Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model
title_full_unstemmed Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model
title_short Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model
title_sort estimating foliage and woody biomass in sahelian and sudanian woodlands using a remote sensing model
topic sudanian zone
woodlands
biomass
remote sensing
models
trees
size
density
url https://hdl.handle.net/10568/28808
work_keys_str_mv AT franklinj estimatingfoliageandwoodybiomassinsahelianandsudanianwoodlandsusingaremotesensingmodel
AT hiernauxpierrehy estimatingfoliageandwoodybiomassinsahelianandsudanianwoodlandsusingaremotesensingmodel